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Användning av greylisting för att filtrera skräppost för myndigheter
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
2018 (Swedish)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Undersöker användbarheten av greylisting för att filtrera skräppost ur en myndighets perspektiv som har juridiska krav på sig att vara kontaktbara via epost och då har begränsningar i hur inkomna epost får filtreras. Genom att sätta upp en simulerad miljö så testas ett antal olika program för massutskick av epost och greylisting visar sig vara mycket effektivt när det kommer till att filtrera bort epost som skickas från klienter som inte till fullo stödjer SMTP's funktion för omsändningar enligt RFC. Greylisting har dock en inbyggd nackdel i sättet som skräposten filtreras och det är att samtlig epost från tidigare ej sedda avsändare kommer att fördröjas, i mina försök och med mina inställningar av Postgrey blev det en genomsnittlig fördröjning på ca 17min.

 

Abstract [en]

Investigates the usability of greylisting as a means of filtering spam emails in the perspective of a (swedish) government agency that has got legal obligations to be reachable by email and thus are limited in the ways incoming emails may be filtered. By setting up a virtual environment a few softwares for sending bulk mail are tested and greylisting shows to be a very effective when it comes to filter emails that are sent from clients that does not fully support the SMTP's functions for retransmission listed in the RFC. Greylisting has got an built in disadvantage in the way that email are filtered and that is that all emails from senders that has not been seen before will be delayed, in my tests and with my settings of Postgrey I got an average delay of approximately 17min.

Place, publisher, year, edition, pages
2018. , p. 31
Keywords [en]
Greylisting, SMTP, Spam, Postgrey
Keywords [sv]
Grålistning, Greylisting, SMTP, Spam, Postgrey
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:miun:diva-34457Local ID: DT-V18-G2-004OAI: oai:DiVA.org:miun-34457DiVA, id: diva2:1249768
Subject / course
Computer Engineering DT1
Educational program
Network Management TNÄTG 120 higher education credits
Supervisors
Examiners
Available from: 2018-09-20 Created: 2018-09-20 Last updated: 2018-09-20Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf